Computer Vision System Engineer
Core
Designing next-generation mobile computer vision and deep learning solutions for imaging, perception, scene understanding, segmentation, tracking, and computational photography.
Role type
Senior IC computer vision system engineer (hardware-aware algorithm & architecture)
Builds
Mobile AI accelerators, deep learning engines, and heterogeneous compute platforms for Qualcomm devices
Domain
Mobile computing, computer vision, deep learning, hardware architecture
Deliverable
production ML models
Required skills
Hardware-aware algorithm design, deep learning engine architecture, HW/SW co-design, accelerator development, system architecture, neural network optimization, C/C++ programming, Python programming, performance modeling, power efficiency analysis, memory hierarchy design
Preferred skills
Mobile computer vision system development, modern neural network architectures (CNNs, Transformers, ViTs), AI accelerator architecture, real-time hardware architecture definition
Technologies
CPUs, GPUs, DSPs, NPUs, Tensor processing units, C++, Python
Responsibilities
Define efficient mappings of state-of-the-art CV/DL models onto mobile AI accelerators; Drive architecture development for hardware-aware deep learning engines; Analyze neural network workloads to identify architectural enhancements; Define HW/SW partitioning strategies across heterogeneous platforms; Develop workload characterization methodologies and performance models; Collaborate with hardware architects to define next-generation AI engine features; Drive top-down architecture exploration from algorithm requirements through hardware implementation.
